Evaluation of a population-based screening for type 2 diabetes: A community-based screening project in Puli, Taiwan

Citation
Hj. Chang et al., Evaluation of a population-based screening for type 2 diabetes: A community-based screening project in Puli, Taiwan, PREV MED, 31(4), 2000, pp. 396-402
Citations number
15
Categorie Soggetti
Envirnomentale Medicine & Public Health
Journal title
PREVENTIVE MEDICINE
ISSN journal
00917435 → ACNP
Volume
31
Issue
4
Year of publication
2000
Pages
396 - 402
Database
ISI
SICI code
0091-7435(200010)31:4<396:EOAPSF>2.0.ZU;2-D
Abstract
Background, A Markov method incorporating the relationships between prevale nce, incidence, and mortality with respect to type 2 diabetes was used to a ssess a population-based screening for this disease. Methods. Data from a population-based screening project for residents of Pu ll, Taiwan, over 30 years of age (n = 1,219) were used to estimate the annu al incidence of asymptomatic type 2 diabetes, the prevalence to incidence ( P/I) ratio, and the hazard rate of death due to type 2 diabetes. These para meters were employed to develop a Markov process to evaluate the effects of early detection of type 2 diabetes on the risk of death from this disease in a simulated population (n = 10,000) receiving biennial, 5-year interval, or no screening, Results. The estimated annual incidence, average duration from asymptomatic to symptomatic type 2 diabetes (P/I ratio), and hazard rate for death from this disease were 0.86% (95% CI 0.50-1.48), 10 years (95% CI 7.69-14.01), and 1.1% per year, respectively. This yields an optimal screening interval of 5 years, Simulation of a 5-year interval screening regimen versus no scr eening yielded a relative risk reduction of 31% (95% CI 12-46%), A similar value was found for a biennial screening regime. Conclusions, The results suggest that early detection of type 2 diabetes vi a a community-based screening project in developing countries with high pre valence is worthwhile. (C) 2000 American Health Foundation and Academic Pre ss.